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- W2017123563 abstract "In Reply.— Predictive values (posttest probabilities) are helpful in conveying the importance of a given test result to the referring physician. However, Bayesian analysis requires that a test result be normal (negative) or abnormal (positive). Such an analysis was not emphasized in our article because of the presence of a third possibility, the indeterminate scan pattern. To present our results, the two indeterminate scans in the AC group were considered not to be true-positive studies, but they are definitely not false-negative studies as characterized by Dr Barenholtz. The referring physician is told that the patient has an abnormal study that does not discriminate between AC and other disease entities. Thus, the predictive value of a normal (negative) study in this series is 100% as stated in our article and not 98%. Bayesian analysis is also useful in defining the population best and least suited for a diagnostic test of" @default.
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- W2017123563 date "1981-09-11" @default.
- W2017123563 modified "2023-09-23" @default.
- W2017123563 title "Hepatobiliary Scan and Acute Cholecystitis: Bayesian Analysis of Data-Reply" @default.
- W2017123563 cites W2140512860 @default.
- W2017123563 doi "https://doi.org/10.1001/jama.1981.03320110012012" @default.
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